RAG Agents: Build Apps & GPTs with APIs/MCP, LangChain & n8n

Partner: Udemy
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Description: One of the most important concepts in the AI world is RAG – Retrieval-Augmented Generation!You need to give LLMs knowledge!But how do you build powerful RAG chatbots and intelligent AI agents to optimize your business processes and personal projects?In this course, you’ll learn exactly that—comprehensively and clearly explained—using ChatGPT, Claude, Google Gemini, open‑source LLMs, Flowise, n8n, and more!Fundamentals: LLMs, RAG & Vector DatabasesBuild a solid foundation for your AI projects:Deepen your knowledge of LLMs: ChatGPT, Claude, Gemini, Deepseek, Llama, Mistral, and many more.Understand how Function Calling and API communication work in LLMs.Learn why vector databases and embedding models are the heart of RAG.Master the ChatGPT interface, GPT models, settings, and the OpenAI Playground.Explore key concepts like Test‑Time Compute (e.g. OpenAI o1, o3; Deepseek R1).Discover how Google’s NotebookLM works and leverage it effectively for RAG projects.Simple RAG Implementations with ChatGPT & Custom GPTsGet your first AI applications up and running quickly and easily:Create your very first RAG bot from PDFs using Custom GPTs.Turn HTML web pages and YouTube videos into interactive RAG chatbots.Train ChatGPT on your personal writing style via RAG.Use CSV data to build smart chatbots and explore the full potential of Custom GPTs.RAG with Open‑Source LLMs: AnythingLLM & OllamaDive into the world of local AI:Install and use Ollama: learn about models, commands, and hardware requirements.Integrate AnythingLLM effectively with Ollama—optimize chunking and embeddings.Build local RAG chatbots and precisely control language and behavior with system prompts and temperature settings.
Category: Development > Data Science > Retrieval Augmented Generation (RAG)
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Price: 199.99
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Source: Impact
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